However, planning-based predictors suffer from too much inductive bias. They commit to predefined notions (features) for what humans care about which are inevitably both inaccurate (e.g. humans do care about collision avoidance, but might be more sensitive to front collisions than side collisions, for instance), as well as missing important aspects altogether [1]}. Further, real people are far from optimal decision makers: we have all sorts of systematic biases, from perception biases to wrong beliefs to risk-aversion to optimism bias and beyond. In short, these predictors are not expressive enough to capture the nuances in human behavior.
